MinghuiChen43 / awesome-trustworthy-deep-learningLinks
A curated list of trustworthy deep learning papers. Daily updating...
☆372Updated 2 weeks ago
Alternatives and similar repositories for awesome-trustworthy-deep-learning
Users that are interested in awesome-trustworthy-deep-learning are comparing it to the libraries listed below
Sorting:
- Existing Literature about Machine Unlearning☆890Updated last month
- Awesome Machine Unlearning (A Survey of Machine Unlearning)☆862Updated this week
- ☆46Updated 11 months ago
- [arXiv:2411.10023] "Model Inversion Attacks: A Survey of Approaches and Countermeasures"☆184Updated 2 months ago
- ☆191Updated last year
- ☆57Updated 5 years ago
- [NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gao…☆76Updated last year
- A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. TPAMI, 2024.☆316Updated 2 weeks ago
- ☆342Updated last month
- Methods for removing learned data from neural nets and evaluation of those methods☆36Updated 4 years ago
- Papers and online resources related to machine learning fairness☆73Updated 2 years ago
- Code related to the paper "Machine Unlearning of Features and Labels"☆71Updated last year
- Code for coreset selection methods☆238Updated 2 years ago
- Official repo of the paper Can Bad Teaching Induce Forgetting? Unlearning in Deep Networks using an Incompetent Teacher accepted in AAAI …☆37Updated last year
- Dataset Condensation (ICLR21 and ICML21)☆521Updated last year
- Awesome coreset/core-set/subset/sample selection works.☆178Updated last year
- A resource repository for machine unlearning in large language models☆448Updated 2 weeks ago
- ☆18Updated 5 months ago
- A curated list of papers of interesting empirical study and insight on deep learning. Continually updating...☆337Updated 3 weeks ago
- A survey of privacy problems in Large Language Models (LLMs). Contains summary of the corresponding paper along with relevant code☆68Updated last year
- A curated list of papers & resources linked to data poisoning, backdoor attacks and defenses against them (no longer maintained)☆266Updated 6 months ago